Triple

T8929183
Position Surface form Disambiguated ID Type / Status
Subject quattro all-wheel drive E212608 entity
Predicate logoFeature P10231 FINISHED
Object wordmark quattro
The "wordmark quattro" is the stylized typographic logo used by Audi to denote its quattro all-wheel-drive technology.
 E766165 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: wordmark quattro | Statement: [quattro all-wheel drive, logoFeature, wordmark quattro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: wordmark quattro
Context triple: [quattro all-wheel drive, logoFeature, wordmark quattro]
  • A. Logos
    Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
  • B. Quattro Pro
    Quattro Pro is a spreadsheet software program, originally developed by Borland and later owned by Corel, known for competing with Lotus 1-2-3 and Microsoft Excel.
  • C. Logo
    Logo is an educational programming language known for its turtle graphics, designed to help learners explore mathematical and computational ideas through simple commands.
  • D. The Logo
    The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
  • E. QTR
    QTR is the ICAO airline designator used in aviation to identify Qatar Airways flights in air traffic control and operational contexts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: wordmark quattro
Triple: [quattro all-wheel drive, logoFeature, wordmark quattro]
Generated description
The "wordmark quattro" is the stylized typographic logo used by Audi to denote its quattro all-wheel-drive technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: wordmark quattro
Target entity description: The "wordmark quattro" is the stylized typographic logo used by Audi to denote its quattro all-wheel-drive technology.
  • A. Logos
    Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
  • B. Quattro Pro
    Quattro Pro is a spreadsheet software program, originally developed by Borland and later owned by Corel, known for competing with Lotus 1-2-3 and Microsoft Excel.
  • C. Logo
    Logo is an educational programming language known for its turtle graphics, designed to help learners explore mathematical and computational ideas through simple commands.
  • D. The Logo
    The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
  • E. QTR
    QTR is the ICAO airline designator used in aviation to identify Qatar Airways flights in air traffic control and operational contexts.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc667470308190a75ba63de803e3a2 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbab0b0048190a0ad002787dddffa completed April 3, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb4f1f6881908ec9e419d175d044 completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:57 p.m.